React components for efficiently rendering large lists and tabular data
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Updated
Jan 4, 2024 - JavaScript
React components for efficiently rendering large lists and tabular data
Fast and Accurate ML in 3 Lines of Code
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
🍞🔡 The Powerful Component to Display and Edit Data. Experience the Ultimate Data Transformer!
In-memory tabular data in Julia
Machine Learning University: Accelerated Tabular Data Class
Automatic architecture search and hyperparameter optimization for PyTorch
Conditional GAN for generating synthetic tabular data.
A terminal spreadsheet multitool for discovering and arranging data
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
Algorithms for outlier, adversarial and drift detection
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
What's in your data? Extract schema, statistics and entities from datasets
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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